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1284 summarised stories about Developer Tools, each linking back to the original source. Browse all topics →

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Tuesday, 22 September 2026

Web scraping startup Firecrawl closes $75M investment

SiliconANGLE 3 weeks ago 46

Firecrawl announced it closed a $75 million funding round for its AI-focused web scraping platform. The Series B round was led by Los Angeles venture firm Smash Ventures. The funding will be used to enhance its new Alexandria cloud service by adding more third-party data providers and launching a self-service licensing system soon.

jev-seo

Product Hunt 3 weeks ago 22

jev-seo launched a free Rust CLI that audits websites for SEO/GEO checks like crawling, meta tags, schema validation, robots, and sitemaps. Semrush and Ahrefs charge $130+/month for similar mostly deterministic work. It removes subscriptions and paid API keys for core auditing, while optional Jev-powered semantic scoring and an MCP server require a free API key.

llm 0.36

Simon Willison’s Weblog 3 weeks ago 10

llm released version 0.36 with new OpenAI models and related tooling changes. The update adds two new models, gpt-6-sol and gpt-6-luna. Plugin authors can mark models as not supporting conversations, which makes llm raise llm.ConversationNotSupported and prevents chat sessions when conversation history is provided.

“One of the most significant steps in our 26-year history”: JetBrains goes big on agentic development — and bets the IDE still matters

The New Stack 3 weeks ago 23

JetBrains launched JetBrains Air as an open system for agentic software development that spans its IDEs and surrounding tooling. The company says it is taking “one of the most significant steps in our 26-year history.” JetBrains Air consolidates its existing agent products—Air in IDEs, Air Teams, and Air Governance—while keeping an IDE-centered workflow for reviewing and verifying agent-generated code.

Quoting @therealcornpop

Simon Willison’s Weblog 3 weeks ago 7

Teleport sponsored a post featuring a TikTok quote arguing that writing scripts with AI often sounds empty or unopinionated. The post points to 13 engineers who “pressure washed” a codebase with LLMs over 90 days, emphasizing quality over quantity for finding security vulnerabilities. This shifts attention from obvious AI writing tells to how style and substance (or the lack of them) affect perceived authorship and confidence.

Evaluate skill-equipped agents with Strands Evals and Amazon Bedrock AgentCore

Amazon Web Services 3 weeks ago 37

Strands Evals SDK and Amazon Bedrock AgentCore Evaluations added skill-focused evaluators to measure whether skill-equipped agents choose the right skill and follow its prescribed steps. The Skill Instruction Following evaluator rates each invoked skill on a five-level scale and uses evidence to detect skipped steps. Teams can use the per-skill results from recorded trajectories or OpenTelemetry traces to diagnose whether failures come from routing (wrong skill) or execution (partial instruction following) and turn those checks into deployment gates for regressions.

llm-typesafe 0.1a0

Simon Willison’s Weblog 3 weeks ago 25 ● 19 sources

llm-typesafe 0.1a0 was released as a plugin for LLM that adds support for TypeSafe’s Jev model. It is installed with the command `llm install llm-typesafe` and then configured by setting a TypeSafe API key with `llm keys set typesafe`. Users can now submit yes/no, choice, and scoring question prompts to the `jev` model and get structured outputs of those types.

AgreeGuard

Product Hunt 3 weeks ago 8

AgreeGuard launched a free Chrome extension that summarizes website terms and conditions before a user clicks to accept them. It provides a plain-English summary in under 15 seconds. The change is that users can get highlighted red flags like auto-renewals, hidden fees, and data-selling risks without creating an account, using AI to do the reading.

What can you build with Jev

Ben's Bites 3 weeks ago 45 ● 19 sources

Jev was opened up to everyone, and builders shared examples of how they use it inside tools rather than as a general LLM. Grok 4.7 is reported as performing better than GPT-5.6-Sol and Opus 5 on benchmarks, but needing more tokens and losing cost efficiency. Claude Code reorganized projects into a single master chat in beta and will add AGENTS.md support via Claude Mods, while Speechmatics released an STT model with 25% lower cost than Deepgram Flux.

Andreessen Horowitz is launching an ‘academy’ with no homework and partnerships with Palantir, Google, and Meta

The Verge 3 weeks ago 32 ● 2 sources

Andreessen Horowitz is launching the Horowitz Andreessen Academy as a startup pipeline for young people, with classes and company “co-ops.” It launched with 10 partner companies and $42 million in funding. The academy offers short classes and work placements instead of degrees or accreditation.

UNA Watch announces commercial launch of its repairable wearable

Startups Magazine 29

UNA Watch commercialised its modular, repairable sports GPS watch, shifting from crowdfunding to full shipping across 32 countries and aiming to challenge Apple and Garmin’s sealed-device model. The watch is priced at £179 in the UK. UNA is enabling battery and display swaps and publishing open hardware and an open software platform with an SDK so owners and third parties can build apps, aided by AI-assisted coding tools described in the article.

Kantata debuts Agent Studio for building custom AI agents in plain language

SiliconANGLE 3 weeks ago 45 ● 2 sources

Kantata unveiled Agent Studio, a tool that lets services firms build custom AI agents by describing the job in plain language instead of writing code. Agent Studio is available now and is in use by customers. It shifts agent creation to conversation-based builds within Kantata’s platform, with standard formats and governance applied once to reduce repeated prompt drafting and reformatting.

Gortex (GitHub Repo)

GitHub 3 weeks ago 36

Gortex (a GitHub repo) shipped a local, no-dependency system that parses 257 languages into an in-process provenance graph and exposes it to coding agents via MCP, a CLI, and an HTTP/Web UI. It reports $168.69 in cost avoided (claude-opus-4) across 1,878 calls, saving 11,246,094 tokens against naive file reads. Developers can now use graph-based symbol lookups, call-chain and blast-radius queries, and AI-assisted PR review through the connected agents instead of repeatedly re-reading source files.

Do Frameworks Matter Anymore?

brookslybrand.com 3 weeks ago 22

The article argues that even with agentic programming and LLMs making frontend coding feel less important, the question of whether web frameworks still matter remains unresolved and worth rethinking. It notes the author has worked on open source frameworks for 3 years to investigate this issue. It concludes that frameworks still add value by providing abstractions, structure, and constraints that help developers and agents produce maintainable, secure results, rather than making framework choice irrelevant.

Markdown in /src

htmx.org 3 weeks ago 46

Carson Gross argues that agentic coding workflows should treat Markdown as source code by checking Markdown into /src alongside the code it describes, so it becomes the main basis for derived code and tests. He proposes a specific path change: creating a new /src/md directory to store curated, lower-level specifications instead of relying on ephemeral prompt sessions. This shifts teams from generating code/tests from prompts to maintaining and updating Markdown as a shared intent layer that humans and agents can both read in-repo.

AI Coding Has Made CI a Bottleneck, So We Reworked Ours to Keep Up

Linear 3 weeks ago 26

Linear’s team redesigned its CI to remove bottlenecks created by faster AI-assisted code shipping, by optimizing runner time and PR wait time. Pull request wait time dropped from more than 6 minutes to just over 5, despite test suites nearly quadrupling since the start of the year. CI became faster and more efficient through changes to infrastructure, checkout, gating, setup, and sharding, cutting various CI costs and reducing developer/agent feedback latency.

A summer of AI optimization

Daniel Lemire's blog 3 weeks ago 35

Open-source parsing and bitmap libraries were rebuilt and re-benchmarked, showing large performance gains across six widely used codebases in 2026 after long flat periods. simdjson’s serialization speed rose 2.1x on citm_catalog.json from February 2026 onward. The result is faster URL/number/JSON/unicode parsing and bitmap operations for many downstream users, likely enabled by more accessible optimization work in that period.

Koreshield

Product Hunt 3 weeks ago 14

Koreshield launches authentication and identity and AI infrastructure tooling that screens a support agent’s customer messages, retrieved documents, and proposed tool calls before they can influence model behavior or execution. It says it can be integrated with one call. As a result, it records and checks for issues like data leaks, hidden instructions, policy drift, and unsafe agent actions.

NVIDIA Introduces SoL-Pi: Auto-Research Loops That Cut Coding Agent Token Traffic by Up to 49%

MarkTechPost 3 weeks ago 53

NVIDIA, NTU, and MIT released SoL-Pi, an MIT-licensed extension for the open-source Pi coding agent that uses auto-research loops to tune a harness for efficiency. On the 51-task EdgeBench benchmark, SoL-Pi cut recorded token traffic by 44.7% to 49.0% versus Pi and reduced API cost by about 33%. SoL-Pi ships on GitHub and is deployable on an unmodified Pi release (tested with Pi 0.85.1 and Node.js 22.19+), with efficiency improvements carried through to closely matched scores.

CtrlOps 1.0

Product Hunt 3 weeks ago 23

CtrlOps 1.0 was launched as a follow-up to CtrlOps, offering server auditing and management with AI. It provides a security hardening score across 25 checks plus a PDF audit report. It changes server access and deployment workflows by letting users review logs and revoke or assign roles without using SSH or handling credentials off-device.

Canary rollouts: upgrade models in production without downtime

Together AI 3 weeks ago 4

Rollouts automate traffic migration between two model deployments by running canary, blue-green, or rolling upgrades with built-in health checks and rollback controls. The default canary traffic ladder is 5% → 25% → 50% → 100% with a wait window of at least 390 seconds per step when using metric gates. This replaces manual hard swaps or DIY staged cutovers by letting the platform enforce step ordering, pause on failed gates, and complete or cancel without leaving traffic in an ambiguous state.

Transformers now runs llama.cpp quants

Hugging Face 3 weeks ago 20

Hugging Face added GGUF support to Transformers so GGUF checkpoints can be loaded with from_pretrained and run locally on Apple Silicon using GGML/Metal kernels. The initial focus is on Qwen3.5 architecture and the benchmark run is on a MacBook Pro M2 Max with 32 GB unified memory. This changes Transformers to become an efficient GGUF local-inference and serving option, while GGUF files now work through the standard Transformers API instead of requiring llama.cpp as the only inference path.

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